Zobrazeno 1 - 10
of 4 045
pro vyhledávání: '"D'Andrea, I."'
Biological neural networks can perform complex computations to predict their environment, far above the limited predictive capabilities of individual neurons. While conventional approaches to understanding these computations often focus on isolating
Externí odkaz:
http://arxiv.org/abs/2406.19201
Autor:
Dong, Changxin, d'Aquino, Andrea I., Sen, Samya, Hall, Ian A., Yu, Anthony C., Acosta, Jesse D., Appel, Eric A.
A promising strategy to address the pressing challenges with wildfire, particularly in the wildland-urban interface (WUI), involves developing new approaches for preventing and controlling wildfire within wildlands. Among sprayable fire-retardant mat
Externí odkaz:
http://arxiv.org/abs/2405.07384
Autor:
Rosas, Fernando E., Geiger, Bernhard C., Luppi, Andrea I, Seth, Anil K., Polani, Daniel, Gastpar, Michael, Mediano, Pedro A. M.
Understanding the functional architecture of complex systems is crucial to illuminate their inner workings and enable effective methods for their prediction and control. Recent advances have introduced tools to characterise emergent macroscopic level
Externí odkaz:
http://arxiv.org/abs/2402.09090
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract The growing concern over micropollutants in aquatic ecosystems motivates the development of electrochemical membrane reactors (EMRs) as a sustainable water treatment solution. Nevertheless, the intricate interplay among adsorption/desorption
Externí odkaz:
https://doaj.org/article/b43c07c6ee0d4b04888c267017f6ae08
Trainees’ perspectives and recommendations for catalyzing the next generation of NeuroAI researchers
Autor:
Andrea I. Luppi, Jascha Achterberg, Samuel Schmidgall, Isil Poyraz Bilgin, Peer Herholz, Maximilian Sprang, Benjamin Fockter, Andrew Siyoon Ham, Sushrut Thorat, Rojin Ziaei, Filip Milisav, Alexandra M. Proca, Hanna M. Tolle, Laura E. Suárez, Paul Scotti, Helena M. Gellersen
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-7 (2024)
At this critical juncture in the development of NeuroAI, we outline challenges and training needs of junior researchers working across AI and neuroscience. We also provide advice and resources to help trainees plan their NeuroAI careers.
Externí odkaz:
https://doaj.org/article/4d00e88d4168494f95302ff60b8133c9
Autor:
Luppi, Andrea I, Rosas, Fernando E., Deco, Gustavo, Kringelbach, Morten L., Mediano, Pedro A. M.
Temporal irreversibility, often referred to as the arrow of time, is a fundamental concept in statistical mechanics. Markers of irreversibility also provide a powerful characterisation of information processing in biological systems. However, current
Externí odkaz:
http://arxiv.org/abs/2308.05664
Autor:
Luppi, Andrea I., Olbrich, Eckehard, Finn, Conor, Suárez, Laura E., Rosas, Fernando E., Mediano, Pedro A. M., Jost, Jürgen
Understanding how different networks relate to each other is key for obtaining a greater insight into complex systems. Here, we introduce an intuitive yet powerful framework to characterise the relationship between two networks comprising the same no
Externí odkaz:
http://arxiv.org/abs/2306.01645
Recent research is revealing how cognitive processes are supported by a complex interplay between the brain and the rest of the body, which can be investigated by the analysis of physiological features such as breathing rhythms, heart rate, and skin
Externí odkaz:
http://arxiv.org/abs/2303.04863
Autor:
Andrea I. Luppi, Helena M. Gellersen, Zhen-Qi Liu, Alexander R. D. Peattie, Anne E. Manktelow, Ram Adapa, Adrian M. Owen, Lorina Naci, David K. Menon, Stavros I. Dimitriadis, Emmanuel A. Stamatakis
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-24 (2024)
Abstract Functional interactions between brain regions can be viewed as a network, enabling neuroscientists to investigate brain function through network science. Here, we systematically evaluate 768 data-processing pipelines for network reconstructi
Externí odkaz:
https://doaj.org/article/3735640386ca4b8499907e042d93176d
Publikováno v:
Current Plant Biology, Vol 39, Iss , Pp 100364- (2024)
There is strong interest in deciphering the gene regulatory networks (GRNs) that govern plant specialized metabolism to assist in plant breeding. Here, we investigated the GRN governing phenolic biosynthesis pathways from which ∼ 8000 secondary met
Externí odkaz:
https://doaj.org/article/dfdf0c7e9e774d1a8bd9bf4429ef0d4e